Abstract
In Wireless Sensor Network (WSN) each node must report to the Base Station (BS) with the frequency that the BS demands (Nre). The paper proposes Enhanced Link aware Data Aggregation Mechanism (LDAM), an energy efficient data gathering algorithm that elects the Cluster Head (CH) and Gateway (GW) nodes based on the Predicted Transmission Count (PTC) that depends on the residual energy, forward and reverse delivery ratio. Once the clusters are formed, nodes calculate their distance(d) from CH based on which the nodes take-in varied transmission power. Based on the nodes weight, CH and GW are re-elected periodically and this enhances the nodes lifetime. Algorithm is simulated with varied number of nodes in the network, results prove to be efficient than LCM algorithm with respect to delivery ratio, energy consumed and average delay.
Highlights
Today, Wireless Sensor Network (WSN) is the most developing and challenging area of research, because of their real time application
The paper proposes Enhanced Link aware Clustering Mechanism (LDAM), a data aggregation algorithm based on passive clustering technique that concentrates both on the efficient Cluster Head (CH) and GW selection process and varied transmission power during the data aggregation process
In K-Hop Connectivity algorithm[5], the same metrics of the previously mentioned algorithms are adopted. This algorithm overcomes the drawbacks of Lowest ID Clustering algorithm (LIC) and Highest Connectivity Clustering algorithm (HCC), considering both the node ID and communication range of the node by setting Upper bound (U) and Lower bound (L) for number of nodes that can exist in a cluster
Summary
Wireless Sensor Network (WSN) is the most developing and challenging area of research, because of their real time application. There are chances for the nodes to die due to smaller battery as well as high energy consumption for the task. This results in breakage of the chain communication wherein the nodes die continuously, which makes the network fail. Hierarchical clustering reduces the number of communication between the nodes. Sensor Nodes: Interior components that are used in WSN. They perform all important and basic task of the network: Sensing, Computing and Communicating
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